Selection of Crankshaft Manufacturing Material by the PIV Method
Received: 16 April 2024 | Revised: 4 May 2024 | Accepted: 8 May 2024 | Online: 15 May 2024
Corresponding author: Hong Son Nguyen
Abstract
The type of material employed in crankshaft production has a great influence on the performance, durability, and product lifespan. There are many types of material that can be used to manufacture crankshafts, but choosing the best one is a complicated work. This study is carried out to select the best material type among four commonly deployed types, including 1080 steel, 18CrMo4 steel, 4130 steel, and S48C steel. Fifteen parameters (criteria) were chosen to describe each material. The weights of the criteria were determined by three methods, including the Mean weight method, the Entropy weight method, and the MEREC (Method based on the Removal Effects of Criteria) weight method. To rank the steel types, the PIV (Proximity Indexed Value) method was adopted, and it was demonstrated that the ranks did not depend on the weighting method followed. S48C is the best choice among the four types of steel generally utilized for crankshaft production.
Keywords:
MCDM, PIV, weight method, crankshaft materialDownloads
References
S. Galata et al., "Web Optimization of Compression Ignition Aviation Engine Crankshaft," International Journal of Aerospace Engineering, vol. 2022, Sep. 2022, Art. no. e7976691.
A. Solanki, K. Tamboli, and M. J. Zinjuwadia, "Crankshaft Design and Optimization- A Review," in National Conference on Recent Trends in Engineering & Technology, Gujarat, India, Dec. 2011, pp. 1–5.
A. Fynn, "Mechanism of Crankshaft and its Applications," Journal of Applied Mechanical Engineering, vol. 11, no. 2, Feb. 2022, Art. no. 1000402.
K. Alilakbari, M. Imanparast, and R. Masoudi Nejad, "Microstructure and fatigue fracture mechanism for a heavy-duty truck diesel engine crankshaft," Scientia Iranica, vol. 26, no. 6, pp. 3313–3324, Dec. 2019.
H. N. Gupta, Manufacturing Process. New Delhi, India: New Age International Limited, 2009.
H. K. Le, "Multi-Criteria Decision Making in the Milling Process Using the PARIS Method," Engineering, Technology & Applied Science Research, vol. 12, no. 5, pp. 9208–9216, Oct. 2022.
S. Alshehri, "Multicriteria Decision Making (MCDM) Methods for Ranking Estimation Techniques in Extreme Programming," Engineering, Technology & Applied Science Research, vol. 8, no. 3, pp. 3073–3078, Jun. 2018.
A. R. Radhi and A. M. Burhan, "Non-Profit Organization Project Selection Process Using the Hygiene Method of Multi-Criteria Decision Making," Engineering, Technology & Applied Science Research, vol. 12, no. 5, pp. 9097–9101, Oct. 2022.
S. Mufazzal and S. M. Muzakkir, "A new multi-criterion decision making (MCDM) method based on proximity indexed value for minimizing rank reversals," Computers & Industrial Engineering, vol. 119, pp. 427–438, May 2018.
A. Puska, A. Stilic, D. Pamucar, D. Bozanic, and M. Nedeljkovic, "Introducing a Novel multi-criteria Ranking of Alternatives with Weights of Criterion (RAWEC) model," MethodsX, vol. 12, Jun. 2024, Art. no. 102628.
A. Sotoudeh-Anvari, "Root Assessment Method (RAM): A novel multi-criteria decision making method and its applications in sustainability challenges," Journal of Cleaner Production, vol. 423, Oct. 2023, Art. no. 138695.
V. N. Uyen and X. Pham, "The Multi-Criteria Decision-Making Method: Selection of Support Equipment for Classroom Instructors," Applied Engineering Letters : Journal of Engineering and Applied Sciences, vol. 8, pp. 148–157, Jan. 2023.
B. Hatem and K. Ikram, "A Methodology for Selection Starting Line-Up of Football Players in Qatar World Cup 2022," European Journal of Sport Sciences, vol. 2, no. 2, pp. 46–51, Apr. 2023.
D. D. Trung, "Multi-criteria decision making of turning operation based on PEG, PSI and CURLI methods," Manufacturing Review, vol. 9, 2022, Art. no. 9.
C.-N. Wang, H.-T. Tsai, T.-P. Ho, V.-T. Nguyen, and Y.-F. Huang, "Multi-Criteria Decision Making (MCDM) Model for Supplier Evaluation and Selection for Oil Production Projects in Vietnam," Processes, vol. 8, no. 2, Feb. 2020, Art. no. 134.
M. Ozcalici and M. Bumin, "An integrated multi-criteria decision making model with Self-Organizing Maps for the assessment of the performance of publicly traded banks in Borsa Istanbul," Applied Soft Computing, vol. 90, May 2020, Art. no. 106166.
A.-T. Nguyen, "The Improved CURLI Method for Multi-Criteria Decision Making," Engineering, Technology & Applied Science Research, vol. 13, no. 1, pp. 10121–10127, Feb. 2023.
A.-T. Nguyen, "Expanding the Data Normalization Strategy to the MACONT Method for Multi-Criteria Decision Making," Engineering, Technology & Applied Science Research, vol. 13, no. 2, pp. 10489–10495, Apr. 2023.
A. Ulutas and C. Karakus, "Location selection for a textile manufacturing facility with GIS based on hybrid MCDM approach," Industria Textila, vol. 72, no. 2, pp. 126–132, 2021.
N. Z. Khan, T. S. A. Ansari, A. N. Siddiquee, and Z. A. Khan, "Selection of E-learning websites using a novel Proximity Indexed Value (PIV) MCDM method," Journal of Computers in Education, vol. 6, no. 2, pp. 241–256, Jun. 2019.
D. D. Trung, "Application of EDAS, MARCOS, TOPSIS, MOORA and PIV Methods for Multi-Criteria Decision Making in Milling Process," Strojnicky casopis - Journal of Mechanical Engineering, vol. 71, no. 2, pp. 69–84, Nov. 2021.
D. D. Trung, H. X. Thinh, and L. D. Ha, "Comparison of the RAFSI and PIV method in multi-criteria decision making: application to turning processes," International Journal of Metrology and Quality Engineering, vol. 13, 2022, Art. no. 14.
D. D. Trung, "A combination method for multi-criteria decision making problem in turning process," Manufacturing Review, vol. 8, 2021, Art. no. 26.
D. Trung, "The combination of taguchi – entropy – waspas-PIV methods for multi-criteria decision making when external cylindrical grinding of 65G steel," Journal of Machine Engineering, vol. 21, pp. 5–20, Dec. 2021.
S. E. Tuzcu and S. P. Turkoglu, "How vulnerable are high-income countries to the covid-19 pandemic? An MCDM approach," Decision Making: Applications in Management and Engineering, vol. 5, no. 2, pp. 372–395, Oct. 2022.
A. Ulutas, F. Balo, L. Sua, E. Demir, A. Topal, and V. Jakovljevic, "A new integrated grey MCDM model: Case of warehouse location selection," Facta Universitatis, Series: Mechanical Engineering, vol. 19, no. 3, pp. 515–535, Oct. 2021.
S. Wakeel, S. Bingol, M. N. Bashir, and S. Ahmad, "Selection of sustainable material for the manufacturing of complex automotive products using a new hybrid Goal Programming Model for Best Worst Method–Proximity Indexed Value method," Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, vol. 235, no. 2, pp. 385–399, Feb. 2021.
S. Wakeel et al., "A New Hybrid LGPMBWM-PIV Method for Automotive Material Selection," Informatica, vol. 45, pp. 105–115, Mar. 2021.
H. Thinh, N. Mai, N. Giang, and V. Khiem, "Applying multi-criteria decision-making methods for cutting oil selection," Eastern-European Journal of Enterprise Technologies, vol. 3, pp. 52–58, Jun. 2023.
S. Bingol, "Selection of Semiconductor Packaging Materials by Combined Fuzzy AHP-Entropy and Proximity Index Value Method," Mathematical Problems in Engineering, vol. 2022, Dec. 2022, Art. no. e7901861.
F. Jahan, M. Soni, S. Wakeel, S. Ahmad, and S. Bingol, "Selection of automotive brake material using different MCDM techniques and their comparisons," Journal of Engineering Science and Technology Review, vol. 15, no. 1, pp. 24–33, 2022.
N.-T. Nguyen and D. D. Trung, "Combination of Taguchi method, MOORA and COPRAS techniques in multi-objective optimization of surface grinding process," Journal of Applied Engineering Science, vol. 19, no. 2, pp. 390–398, 2021.
D. D. Trung, "Comparison R and curli methods for multi-criteria decision making - Advanced Engineering Letters," Advanced Engineering Letters, vol. 1, no. 2, pp. 46–56, Jul. 2022.
D. Trung and H. Thinh, "A multi-criteria decision-making in turning process using the MAIRCA, EAMR, MARCOS and TOPSIS methods: A comparative study," Advances in Production Engineering & Management, vol. 16, pp. 443–456, Dec. 2021.
M. Keshavarz-Ghorabaee, M. Amiri, E. K. Zavadskas, Z. Turskis, and J. Antucheviciene, "Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC)," Symmetry, vol. 13, no. 4, Apr. 2021, Art. no. 525.
K. Tamura et al., "Development of Technologies for Lightening Crankshafts," NIPPON Steel Technical Report No. 122, Nov. 2019.
N. Bhise and M. Ramachandran, "Design and Numerical evaluation of crankshaft of diesel engine for total deformation and strain," IOP Conference Series: Materials Science and Engineering, vol. 810, no. 1, Nov. 2020, Art. no. 012010.
Compilation, Handbook of Comparative World Steel Standards, 5th ed. West Conshohocken, PA, USA: ASTM International, 2016.
Downloads
How to Cite
License
Copyright (c) 2024 Hong Son Nguyen, Tran Trung Hieu, Nguyen Manh Thang, Huynh Nhu Tan, Nguyen Tien Can, Pham Thi Thao, Nguyen Chi Bao
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.
